code: def test_push_to_hub(self):
      with tempfile.TemporaryDirectory() as tmpdirname:
          model = DummyModel.from_pretrained(TEST_LOCAL_PATH)
          # create remote hash to check if file was updated.
          remote_hash = random.getrandbits(128)
          model.config.from_local = remote_hash
  
          model.save_pretrained(
              tmpdirname,
              use_auth_token=os.environ.get("HF_AUTH_TOKEN", None),
              push_to_hub=True,
              repository_id="unit_test_save_model",
          )
          # folder contains all config files and pytorch_model.bin
          url = "https://huggingface.co/philschmid/unit_test_save_model/raw/main/config.json"
          response = r.get(url)
          self.assertEqual(remote_hash, response.json()["from_local"])
  
file_path: optimum/tests/test_modeling_base.py
imports: import os
  import random
  import tempfile
  import unittest
  import requests
  import torch
  from transformers.configuration_utils import PretrainedConfig
  from optimum.modeling_base import OptimizedModel
  from optimum.utils.testing_utils import require_hf_token
label_desc: Use image node_id 2 for calling the TestOptimizedModel obj's underlying member method code with example usage: obj.test_push_to_hub() without return types